DevOps Engineer (Kubernetes, Docker)
A central AI team driving an enterprise-wide AI agenda, including domain-specific AI hubs, a central AI engineering pool, and an agentic AI platform that enables business units across different countries to build and automate their own processes.
What you will do
- Build and operate cloud-native infrastructure for AI solutions, data pipelines, APIs, agents, and platform services, primarily on Azure with selective use of AWS.
- Create reusable infrastructure, deployment, observability, and environment patterns to help teams move from prototype to production faster.
- Automate provisioning, configuration, CI/CD, monitoring, logging, secrets management, and cost controls for AI workloads.
- Support cloud architecture decisions for agentic workflows, model integrations, event-driven services, data platforms, and external APIs.
- Work with security and data protection teams to ensure cloud environments follow group standards for identity, access, encryption, logging, and resilience.
- Collaborate with local IT teams to onboard environments, connect systems, troubleshoot deployments, and scale successful AI use cases.
- Continuously improve platform reliability, developer experience, cloud cost transparency, and operational maturity.
Location and work model
- Hybrid (2 days/week in the office, Lisboa)
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What we are looking for
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Strong experience with cloud-native development and deployment, preferably within Microsoft Azure, with practical exposure to AWS;
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Hands-on experience with Infrastructure as Code, CI/CD, containers, monitoring, logging, and operational support;
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Strong programming skills in Python and SQL; TypeScript knowledge will be valued;
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Experience developing or supporting APIs, data workflows, cloud services, and platform integrations;
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Good understanding of enterprise data engineering, including ETL/ELT, data pipelines, storage solutions, and integration patterns;
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Experience collaborating with cross-functional teams, international stakeholders, and local IT organizations;
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Confidence using GenAI development tools such as GitHub Copilot, Cursor, or OpenCode to accelerate software delivery;
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A pragmatic and results-oriented approach, with the ability to work autonomously in a rapidly evolving AI environment;
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Fluency in English.
Experience with Snowflake, Azure AI Foundry, Microsoft Agent Framework, LangChain, MCP, frontend development, developer portals, workflow builders, DevSecOps, Platform Engineering, or Site Reliability Engineering will be valued.
What we offer:
- A project that matches your skills and ambitions, as well as your preferences for working policies and culture.
- A competitive salary with awesome benefits and opportunities to leverage your knowledge and network to earn additional income.
- An empowering and respectful work culture enriched with social and learning events.
- A People Experience Partner specially assigned to you - your go-to career guide, responsible for supporting your growth, facilitating training, and ensuring your work-life balance at KWAN.
What You Can Expect as a KWANer
Respect isn’t optional here
Dedicated People Experience Partner
Someone accountable for your growth, not your allocation.
Continuous learning, built in
Recognition that’s visible
A culture you can feel
Flexible spaces to work your way
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